题目描述

  1. 给定一个数组,它的第 i 个元素是一支给定股票第 i 天的价格。

  2.  

  3. 设计一个算法来计算你所能获取的最大利润。你可以尽可能地完成更多的交易(多次买卖一支股票)。

  4.  

  5. 注意:你不能同时参与多笔交易(你必须在再次购买前出售掉之前的股票)。

  6.  

  7. 示例 1:

  8.  

  9. 输入: [7,1,5,3,6,4]

  10. 输出: 7

  11. 解释: 在第 2 天(股票价格 = 1)的时候买入,在第 3 天(股票价格 = 5)的时候卖出, 这笔交易所能获得利润 = 5-1 = 4

  12.   随后,在第 4 天(股票价格 = 3)的时候买入,在第 5 天(股票价格 = 6)的时候卖出, 这笔交易所能获得利润 = 6-3 = 3

  13. 示例 2:

  14.  

  15. 输入: [1,2,3,4,5]

  16. 输出: 4

  17. 解释: 在第 1 天(股票价格 = 1)的时候买入,在第 5 (股票价格 = 5)的时候卖出, 这笔交易所能获得利润 = 5-1 = 4

  18.   注意你不能在第 1 天和第 2 天接连购买股票,之后再将它们卖出。

  19.   因为这样属于同时参与了多笔交易,你必须在再次购买前出售掉之前的股票。

  20. 示例 3:

  21.  

  22. 输入: [7,6,4,3,1]

  23. 输出: 0

  24. 解释: 在这种情况下, 没有交易完成, 所以最大利润为 0

  25.  

  26. 来源:力扣(LeetCode

  27. 链接:https://leetcode-cn.com/problems/best-time-to-buy-and-sell-stock-ii

  28. 著作权归领扣网络所有。商业转载请联系官方授权,非商业转载请注明出处。

思路

由于我们是想获取到最大的利润,我们的策略应该是低点买入,高点卖出。

由于题目对于交易次数没有限制,因此只要能够赚钱的机会我们都不应该放过。

如下图,我们只需要求出加粗部分的总和即可

用图表示的话就是这样:

【leetcode系列】122. 买卖股票的最佳时机 II_javascript

关键点解析

  • 这类题只要你在心中(或者别的地方)画出上面这种图就很容易解决

代码

语言支持:JS,Python

JS Code:

  1. /*

  2. * @lc app=leetcode id=122 lang=javascript

  3. *

  4. * [122] Best Time to Buy and Sell Stock II

  5. *

  6. * https://leetcode.com/problems/best-time-to-buy-and-sell-stock-ii/description/

  7. *

  8. * algorithms

  9. * Easy (50.99%)

  10. * Total Accepted: 315.5K

  11. * Total Submissions: 610.9K

  12. * Testcase Example: '[7,1,5,3,6,4]'

  13. *

  14. * Say you have an array for which the i^th element is the price of a given

  15. * stock on day i.

  16. *

  17. * Design an algorithm to find the maximum profit. You may complete as many

  18. * transactions as you like (i.e., buy one and sell one share of the stock

  19. * multiple times).

  20. *

  21. * Note: You may not engage in multiple transactions at the same time (i.e.,

  22. * you must sell the stock before you buy again).

  23. *

  24. * Example 1:

  25. *

  26. *

  27. * Input: [7,1,5,3,6,4]

  28. * Output: 7

  29. * Explanation: Buy on day 2 (price = 1) and sell on day 3 (price = 5), profit

  30. * = 5-1 = 4.

  31. * Then buy on day 4 (price = 3) and sell on day 5 (price = 6), profit = 6-3 =

  32. * 3.

  33. *

  34. *

  35. * Example 2:

  36. *

  37. *

  38. * Input: [1,2,3,4,5]

  39. * Output: 4

  40. * Explanation: Buy on day 1 (price = 1) and sell on day 5 (price = 5), profit

  41. * = 5-1 = 4.

  42. * Note that you cannot buy on day 1, buy on day 2 and sell them later, as you

  43. * are

  44. * engaging multiple transactions at the same time. You must sell before buying

  45. * again.

  46. *

  47. *

  48. * Example 3:

  49. *

  50. *

  51. * Input: [7,6,4,3,1]

  52. * Output: 0

  53. * Explanation: In this case, no transaction is done, i.e. max profit = 0.

  54. *

  55. */

  56. /**

  57. * @param {number[]} prices

  58. * @return {number}

  59. */

  60. var maxProfit = function(prices) {

  61. let profit = 0;

  62.  

  63. for(let i = 1; i < prices.length; i++) {

  64. if (prices[i] > prices[i -1]) {

  65. profit = profit + prices[i] - prices[i - 1];

  66. }

  67. }

  68.  

  69. return profit;

  70. };

Python Code:

  1. class Solution:

  2. def maxProfit(self, prices: 'List[int]') -> int:

  3. gains = [prices[i] - prices[i-1] for i in range(1, len(prices))

  4. if prices[i] - prices[i-1] > 0]

  5. return sum(gains)

  6. print(Solution().maxProfit([7, 1, 5, 3, 6, 4]))

  7. #评论区里都讲这是一道开玩笑的送分题.

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